To meet the stringent service requirements of 6G applications such as immersive cloud
eXtended Reality (XR), holographic communication, and digital twin, there is no doubt that …

As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …

Deep neural networks (DNNs) are currently being deployed as machine learning technology
in a wide range of important real-world applications. DNNs consist of a huge number of …

The Internet of Vehicles (IoV) is considered an enhancement of existing vehicular ad-hoc
networks, which helps connect mobile vehicles to the Internet of Things (IoT) with the …

In the era of autonomous systems, the security is indispensable module for flexible
computing environment. Due to increased computer power and network speed, a new …

Although IoT technology is advanced, wireless systems are prone to faults and attacks. The
replaying information about routing in the case of multi-hop routing has led to the problem of …

The Internet of medical things (IoMT) is one of the most promising fields that is expected to
rapidly expand in the near future. Consequently, vast amounts of data will be generated …

In terms of digital transformation, organizations today are aware of the critical role that data
and information play in their expansion and development in light of the Internet of Things. To …

Deep learning and machine learning show effectiveness in identifying and addressing cloud
security threats. Despite the large number of articles published in this field, there remains a …

The Consumer Internet of Things (CIoT) integrates the advantage of Internet of Things (IoT)
technologies to provide convenience in consumers' daily lives. With the rapid development …